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Epic Fhir MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Epic Fhir as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Epic Fhir. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Epic Fhir?"
    )
    print(response)

asyncio.run(main())
Epic Fhir
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About Epic Fhir MCP Server

Connect Epic electronic health records to any AI agent and query clinical data through natural conversation instead of navigating complex EHR interfaces.

LlamaIndex agents combine Epic Fhir tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Patient Search — Find patients by name, date of birth, or medical record number across your Epic system
  • Clinical Encounters — Review admissions, ER visits, and outpatient appointments with dates, reasons, and locations
  • Lab Results & Vitals — Pull observations including blood work, vital signs, and social history with reference ranges
  • Diagnoses & Conditions — List active and resolved conditions with ICD-10 codes, onset dates, and severity
  • Medications & Allergies — View current prescriptions, dosage instructions, and documented allergic reactions
  • Appointments & Immunizations — Check upcoming schedules and full vaccination history with lot numbers

The Epic Fhir MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Epic Fhir to LlamaIndex via MCP

Follow these steps to integrate the Epic Fhir MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Epic Fhir

Why Use LlamaIndex with the Epic Fhir MCP Server

LlamaIndex provides unique advantages when paired with Epic Fhir through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Epic Fhir tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Epic Fhir tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Epic Fhir, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Epic Fhir tools were called, what data was returned, and how it influenced the final answer

Epic Fhir + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Epic Fhir MCP Server delivers measurable value.

01

Hybrid search: combine Epic Fhir real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Epic Fhir to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Epic Fhir for fresh data

04

Analytical workflows: chain Epic Fhir queries with LlamaIndex's data connectors to build multi-source analytical reports

Epic Fhir MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Epic Fhir to LlamaIndex via MCP:

01

get_patient

Returns name, DOB, gender, race, ethnicity, address, phone, email, and all identifiers. Get patient details by ID

02

list_allergies

Includes substance, reaction type, severity, and clinical status. List allergies and intolerances

03

list_appointments

Includes date/time, provider, location, and status. List patient appointments

04

list_conditions

Includes ICD-10 codes, clinical status, verification status, onset date, and severity. List diagnoses and conditions

05

list_diagnostic_reports

Includes report type, results, conclusion, and performing organization. List diagnostic reports

06

list_encounters

Includes encounter type, period, reason, and location. List patient encounters/visits

07

list_immunizations

Includes vaccine type (CVX code), administration date, dose, site, and lot number. List immunizations

08

list_medications

Includes medication name, dosage, frequency, route, prescriber, and status. List medication requests

09

list_observations

Filter by category: vital-signs, laboratory, social-history. Includes values, units, reference ranges, and interpretation. List clinical observations

10

search_patients

Returns patient demographics including name, DOB, gender, address, and identifiers. Search patients by name, DOB, or MRN

Example Prompts for Epic Fhir in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Epic Fhir immediately.

01

"Find all patients named Smith born in 1985."

02

"Show me the latest lab results for patient e63wACU8F."

03

"List all active medications for this patient."

Troubleshooting Epic Fhir MCP Server with LlamaIndex

Common issues when connecting Epic Fhir to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Epic Fhir + LlamaIndex FAQ

Common questions about integrating Epic Fhir MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Epic Fhir tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Epic Fhir to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.